Company Description

Zuru is an AI-assisted data labeling startup that helps machine learning teams prepare training data across multiple languages and data types. By focusing on improving data quality for machine learning models, Zuru aims to accelerate AI development and implementation.

Role Description

We are looking for Senior Data Scientist who will play an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics vision and AI solutions to challenge various business issues.

The ideal candidate will demonstrate deep understanding of statistical and machine learning concepts, a high standard for coding best practices, passion for pushing the team to improve their standard practices, technical skills for leveraging analytical tools to solve large scale problems and designing tools when they don't exist, technical aptitude to remain abreast with related science technologies, leadership in charting new analytical courses, and excitement to use iterative approaches to tackle long-term challenges

Responsibilities

• Deep understanding of statistical and machine learning models. 
• Proven experience building models and placing models into production.Supporting implementation of advanced analytics in industry
• Resolving resolving issues at Data Platform.
• Strong experience on VNF, Kr8 Platforms.
• Experience with big data: extraction, processing, filtering, and presenting large data quantities (100K to Millions of rows) via Cloud technologies, SQL, and data pipelines.
• Experience in optimization problems, and solving those problems at scale
• Presenting information using data visualization techniques
• Identify valuable data sources and automate collection processes
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modeling
• Propose solutions and strategies to business challenges
• Collaborate across different business unit and product development teams

Requirements

• Strong Skills of machine-learning and AI
• Strong Knowledge of Python, PySpark, SQL, Flask; familiarity with data frameworks such as Hadoop, databases (PostgreSQL, MongoDB, YugaByte), understanding of cloud-native deployments and infrastructure 
• Strong math / analytical skills (e.g. statistics, algebra)
• Excellent communication and presentation skills
• MSc/BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or a quantitative field is preferred
• Experience in data mining
• Experience in product development